Introduction to Linear Regression Analysis (5th Edition)
Introduction to Linear Regression Analysis (5th Edition) by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
English | 2012 | ISBN: 0470542810 | 672 Pages | PDF | 33.1 MB
English | 2012 | ISBN: 0470542810 | 672 Pages | PDF | 33.1 MB
Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.
Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations.